EQUATIONS TO PREDICT THE METABOLIZABLE ENERGY OF MEAT AND BONE MEAL FOR GROWING PIGS

Detalhes bibliográficos
Autor(a) principal: Castilho,Ricardo Araújo
Data de Publicação: 2015
Outros Autores: Pozza,Paulo Cesar, Oliveira,Newton Tavares Escocard de, Sangali,Cleiton Pagliari, Langer,Carolina Natali, Nunes,Ricardo Vianna
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência e Agrotecnologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542015000600565
Resumo: ABSTRACT The prediction of metabolizable energy (ME) of meat and bone meal (MBM) for pigs is an interesting tool, however, used models to predict these values must be validated in order to garantee higher precision. The aim of this study was to determine the chemical and energetic composition of different types of MBM for pigs and to adjust and validate models to better predict the ME based on the chemical composition. Thirty-two barrows, averaging an initial weight of 26.75 ± 1.45 kg, were individually allotted in a randomized block design with eight treatments and four replicates. The treatments consisted of seven types of MBM that replaced 20% of the basal diet. A stepwise procedure was the statistical procedure used to adjust the prediction equations and the ME was the dependent parameter. The validation of the adjusted models was performed using an independent databank of chemical and energetic composition of theBrazilian and international MBM. The metabolizable energy of different meat and bone meals ranged from 1645 to 2645 kcal kg-1. The equations that provide a good prediction of metabolizable energy of meat and bone meal for swine in Brazil are EM1 = -4233.58 + 0.4134GE + 72CP + 89.62ash - 159.06Ca; EM2 = 2087.49 + 0.3446GE + 31.82ash - 189.18Ca; EM3 = 2140.13 + 0.3845GE - 112.33Ca; EM4 = -346.58 + 0.656GE; EM5 = 3221.27 + 178.96fat - 76.55ash; and EM6 = 5356.45 - 84.75ash.
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spelling EQUATIONS TO PREDICT THE METABOLIZABLE ENERGY OF MEAT AND BONE MEAL FOR GROWING PIGSChemical compositionregression equationslaughterhouse by-productsABSTRACT The prediction of metabolizable energy (ME) of meat and bone meal (MBM) for pigs is an interesting tool, however, used models to predict these values must be validated in order to garantee higher precision. The aim of this study was to determine the chemical and energetic composition of different types of MBM for pigs and to adjust and validate models to better predict the ME based on the chemical composition. Thirty-two barrows, averaging an initial weight of 26.75 ± 1.45 kg, were individually allotted in a randomized block design with eight treatments and four replicates. The treatments consisted of seven types of MBM that replaced 20% of the basal diet. A stepwise procedure was the statistical procedure used to adjust the prediction equations and the ME was the dependent parameter. The validation of the adjusted models was performed using an independent databank of chemical and energetic composition of theBrazilian and international MBM. The metabolizable energy of different meat and bone meals ranged from 1645 to 2645 kcal kg-1. The equations that provide a good prediction of metabolizable energy of meat and bone meal for swine in Brazil are EM1 = -4233.58 + 0.4134GE + 72CP + 89.62ash - 159.06Ca; EM2 = 2087.49 + 0.3446GE + 31.82ash - 189.18Ca; EM3 = 2140.13 + 0.3845GE - 112.33Ca; EM4 = -346.58 + 0.656GE; EM5 = 3221.27 + 178.96fat - 76.55ash; and EM6 = 5356.45 - 84.75ash.Editora da UFLA2015-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542015000600565Ciência e Agrotecnologia v.39 n.6 2015reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/S1413-70542015000600003info:eu-repo/semantics/openAccessCastilho,Ricardo AraújoPozza,Paulo CesarOliveira,Newton Tavares Escocard deSangali,Cleiton PagliariLanger,Carolina NataliNunes,Ricardo Viannaeng2015-12-03T00:00:00Zoai:scielo:S1413-70542015000600565Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2015-12-03T00:00Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv EQUATIONS TO PREDICT THE METABOLIZABLE ENERGY OF MEAT AND BONE MEAL FOR GROWING PIGS
title EQUATIONS TO PREDICT THE METABOLIZABLE ENERGY OF MEAT AND BONE MEAL FOR GROWING PIGS
spellingShingle EQUATIONS TO PREDICT THE METABOLIZABLE ENERGY OF MEAT AND BONE MEAL FOR GROWING PIGS
Castilho,Ricardo Araújo
Chemical composition
regression equation
slaughterhouse by-products
title_short EQUATIONS TO PREDICT THE METABOLIZABLE ENERGY OF MEAT AND BONE MEAL FOR GROWING PIGS
title_full EQUATIONS TO PREDICT THE METABOLIZABLE ENERGY OF MEAT AND BONE MEAL FOR GROWING PIGS
title_fullStr EQUATIONS TO PREDICT THE METABOLIZABLE ENERGY OF MEAT AND BONE MEAL FOR GROWING PIGS
title_full_unstemmed EQUATIONS TO PREDICT THE METABOLIZABLE ENERGY OF MEAT AND BONE MEAL FOR GROWING PIGS
title_sort EQUATIONS TO PREDICT THE METABOLIZABLE ENERGY OF MEAT AND BONE MEAL FOR GROWING PIGS
author Castilho,Ricardo Araújo
author_facet Castilho,Ricardo Araújo
Pozza,Paulo Cesar
Oliveira,Newton Tavares Escocard de
Sangali,Cleiton Pagliari
Langer,Carolina Natali
Nunes,Ricardo Vianna
author_role author
author2 Pozza,Paulo Cesar
Oliveira,Newton Tavares Escocard de
Sangali,Cleiton Pagliari
Langer,Carolina Natali
Nunes,Ricardo Vianna
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Castilho,Ricardo Araújo
Pozza,Paulo Cesar
Oliveira,Newton Tavares Escocard de
Sangali,Cleiton Pagliari
Langer,Carolina Natali
Nunes,Ricardo Vianna
dc.subject.por.fl_str_mv Chemical composition
regression equation
slaughterhouse by-products
topic Chemical composition
regression equation
slaughterhouse by-products
description ABSTRACT The prediction of metabolizable energy (ME) of meat and bone meal (MBM) for pigs is an interesting tool, however, used models to predict these values must be validated in order to garantee higher precision. The aim of this study was to determine the chemical and energetic composition of different types of MBM for pigs and to adjust and validate models to better predict the ME based on the chemical composition. Thirty-two barrows, averaging an initial weight of 26.75 ± 1.45 kg, were individually allotted in a randomized block design with eight treatments and four replicates. The treatments consisted of seven types of MBM that replaced 20% of the basal diet. A stepwise procedure was the statistical procedure used to adjust the prediction equations and the ME was the dependent parameter. The validation of the adjusted models was performed using an independent databank of chemical and energetic composition of theBrazilian and international MBM. The metabolizable energy of different meat and bone meals ranged from 1645 to 2645 kcal kg-1. The equations that provide a good prediction of metabolizable energy of meat and bone meal for swine in Brazil are EM1 = -4233.58 + 0.4134GE + 72CP + 89.62ash - 159.06Ca; EM2 = 2087.49 + 0.3446GE + 31.82ash - 189.18Ca; EM3 = 2140.13 + 0.3845GE - 112.33Ca; EM4 = -346.58 + 0.656GE; EM5 = 3221.27 + 178.96fat - 76.55ash; and EM6 = 5356.45 - 84.75ash.
publishDate 2015
dc.date.none.fl_str_mv 2015-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542015000600565
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542015000600565
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1413-70542015000600003
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv Ciência e Agrotecnologia v.39 n.6 2015
reponame:Ciência e Agrotecnologia (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Ciência e Agrotecnologia (Online)
collection Ciência e Agrotecnologia (Online)
repository.name.fl_str_mv Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv ||renpaiva@dbi.ufla.br|| editora@editora.ufla.br
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